At Stitch Fix Dr. Sierag is responsible for maintaining and developing recommender systems end-to-end using PyTorch, serving all users and products across Stitch Fix.
At StubHub, Dr. Sierag was responsible for designing, developing, and implementing dynamic pricing algorithms using Keras in TensorFlow on Google Cloud for online event tickets in a two-sided market. Together with his team Dirk managed to increase sell-through-rate by 15% and revenues by 4% vs tickets that are not priced by the algorithms.
During his time at PROS, Dr. Sierag designed and developed Proof-of-Concepts (POC) of industry-transforming forecasting and dynamic pricing software in Python, both for passenger airlines as well as Air Cargo . Performance tests showed that the algorithms increased forecast accuracy by 40%-60% and increased airline profit margins by 5.5%-11% vs historical performance. Dr. Sierag was also responsible for solving challenges that clients experience in an efficient manner, using Tableau, R, Python and C++.
As a Data Scientist at KLM, Dr. Sierag was responsible for researching, designing, and managing a worldwide implementation of an industry-leading automated b2b dynamic pricing algorithm in Python for their global cargo network. The efforts of his team increased revenues by $10mln/y by reducing workload and offering optimal prices through their algorithm. Dr. Sierag also supervised, co-built and implemented an advanced KPI dashboard in Spotfire, R and SQL for Pricing Analysts, interfacing between Pricing, Sales, and Development.
Dr. Sierag developed revenue management and pricing models during his PhD research at CWI , motivated by data and clients from hotels. Dr. Sierag's research resulted in a POC for hotels, which increasing revenues by up to 20%. Moreover, Dr. Sierag published his research in 9 peer-reviewed papers in renowned scientific journals, a PhD dissertation, and an academic book chapter.
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